Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Human Activity Recognition Using Multidimensional Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-Based Gesture Recognition: A Review
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Human Action Recognition in Smart Classroom
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Learning dynamics for exemplar-based gesture recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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Surveillance systems that automatically detect illegal behaviors performed by unaware people have a wide range of applications: security, healthcare, conservation of cultural heritage and so on. In particular monitoring public areas such as museums and archaeological sites is a challenging problem that has to be solved in order to avoid irreparable damages to historical heritage. In this paper a system able to check by common digital RGB cameras unexpected accesses to forbidden areas in a public museum is presented. The reliability of the proposed framework is shown by large experimental tests performed in the Messapic Museum of Egnathia (Italy) .